"A tool for finding people on X using their bio text" matching MCP tools:

• verify_wallet_signature

  mcp-server

  Submit a signed message to verify wallet ownership. The user must have signed the exact verification message provided by add_wallet. When collecting the signature from the user, remind them to paste the full signature hash from their wallet. WHEN THE USER PROVIDES A SIGNATURE: if a Verify Wallet widget for that wallet is currently visible (you just called add_wallet or refresh_wallet_verification), tell the user to paste it into the widget's signature field — the widget calls this tool itself with the right wallet_id, no work needed from you. If no Verify Wallet widget is on screen (e.g. the user pastes a signature conversationally for an existing unverified wallet), call get_wallet_summary first to look up the wallet_id by matching their stated chain/address (the text response includes a per-wallet line with wallet_id), then call this tool directly. Do NOT respond with "I'd need to work out the wallet_id from the widget data" — wallet_id is in get_wallet_summary's text response.

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• ayah_search

  Tarteel MCP Server

  DEFAULT tool for user-facing Quran search. Use this for ANY user-facing search — 'find ayahs that contain X', 'where does X appear in the Quran', 'search the Quran for X', or similar. This is the FINAL tool call for these requests; do not follow it with search_ayahs_text. Shows matches in an interactive widget the user can browse. Query is Arabic script only (diacritics and punctuation are ignored). A numeric-only query matches ayahs by that ordinal number (for example '255' returns ayahs ending in ':255'). ONLY skip this widget and use search_ayahs_text when EITHER (a) the user explicitly asks for plain text / raw results, OR (b) the results will be fed into another tool in the same turn without being shown. When in doubt, use this widget.

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• firmaradar_check_aml_pep

  Firmaradar

  Screen ONE natural PERSON's full name against sanctions (OFAC, EU, UN) and PEP lists. IMPORTANT — this is a PERSON tool only. Do NOT pass a company name, an organisation number (orgnr), or any non-person string here. For company-level AML risk use `firmaradar_get_aml_score` (by orgnr); to screen a company's owners/officers, first resolve the people via `firmaradar_get_company_roles` / `firmaradar_get_company_ownership`, then screen each PERSON name with this tool. Compliance-critical: PII-sensitive, requires a signed DPA and a legitimate purpose per call (free-text `purpose` parameter). Audit-logged for 60 months. Rate-limited to 50 calls / 30 min per API-key. Returns structured hits with category, sources, and match-ratio (default min 0.85).

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• unulu_create_site

  unulu

  Create a link-in-bio site with a name, bio, and links. Returns a live URL on unu.lu that expires in 1 hour unless claimed. Do NOT call until you have at least a name and one link from the user — gather real content first, never create with placeholder or empty content. If the user provides a handle (e.g. '_guy.a' for Instagram), construct the full URL yourself — do not ask them to paste it. When feasible, offer to find all public links for the person. Before calling: tell the user they can choose a skin on the preview page for the overall aesthetic; ask permission before adding emoji leading_icons to decorate links (for not-well-known social URLs). The response includes an assistant_message with the site URL and claim details — present these to the user. Persist claim_token and claim_code_short for subsequent updates — never ask the user for them back in the same conversation. Never create a duplicate site; always update the existing one. After creation: tell the user they can pick a custom handle when they claim; share the preview URL in a copy-paste block; offer to refine bio, links, or ordering. Keep iteration fast — apply changes immediately, don't re-confirm minor edits.

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• files_read

  DialogBrain

  Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.

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• files_read

  dialogbrain

  Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.

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• get_profile

  Influship Influencer Marketing MCP

  Fetch a single social profile by (platform, username). Always use this first when the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram") and you need the full profile: bio, follower/engagement metrics, recent activity, growth, and the canonical creator ID. Pass exactly the username they typed without the @ sign — case-insensitive matching is handled server-side. Do not use `search_creators` for an exact platform+username lookup. Examples: - User: "Pull @niickjackson on Instagram" -> use this tool with platform "instagram" and username "niickjackson". - User: "Tell me about instagram.com/niickjackson" -> parse the platform and username, then use this tool. - User: "Is @niickjackson a fit for Pixel?" -> use this tool first, then call `get_posts` and/or `match_creators` if the task needs content or fit analysis. Returns the profile record plus the underlying creator record. If you already have a creator UUID, use `get_creator` instead. For batch lookups by handle, use `lookup_profiles`.

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• secret_scan

  AgentSec MCP

  Scan text content for hardcoded secrets, API keys, and credentials using 20 pre-compiled patterns. Privacy guarantee: Input text is NEVER logged, cached, stored, or forwarded. Only findings_count and finding offsets (not matched values) are returned. Detected pattern types include: AWS keys, GitHub/GitLab PATs, OpenAI/Anthropic keys, Stripe secrets, Slack tokens, PEM private keys, JWT tokens, and 13 more. Per-call rate limit: 100/min. Payment: $0.05 USDC per scan.

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• lyra_get_shared_availability

  lyra-mcp-server

  Returns busy windows for YOU plus a set of named attendees from your Lyra contacts, within a time window. For each attendee you provide, the tool looks up whether their Lyra profile has a connected Google calendar; if so, their busy blocks contribute to the aggregated suggested_free_intervals. If not (or if they're not a linked Lyra profile), they're marked requires_manual_confirm: true so you know to ask them directly. Cap of 8 attendees per call. Privacy: per-attendee busy time ranges are returned, never event titles or summaries. Use this when you need to find a time that works for several people at once. Requires an active Google calendar connection on your own Lyra account and API key authentication.

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• get_profile

  Influship

  Fetch a single social profile by (platform, username). Always use this first when the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram") and you need the full profile: bio, follower/engagement metrics, recent activity, growth, and the canonical creator ID. Pass exactly the username they typed without the @ sign — case-insensitive matching is handled server-side. Do not use `search_creators` for an exact platform+username lookup. Examples: - User: "Pull @niickjackson on Instagram" -> use this tool with platform "instagram" and username "niickjackson". - User: "Tell me about instagram.com/niickjackson" -> parse the platform and username, then use this tool. - User: "Is @niickjackson a fit for Pixel?" -> use this tool first, then call `get_posts` and/or `match_creators` if the task needs content or fit analysis. Returns the profile record plus the underlying creator record. If you already have a creator UUID, use `get_creator` instead. For batch lookups by handle, use `lookup_profiles`.

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• law_parliament_get_debate_contributions

  UK Business Tools - Ledgerhall

  USE THIS TOOL WHEN you have a debate_ext_id and want verbatim contributions, optionally filtered to one member. Canonical path for "everything a member said in this debate" regardless of vocabulary — text-search tools (parliament_member_debates, parliament_search_hansard) filter by contribution TEXT, dropping members who spoke without using your phrase verbatim. This tool filters by MemberId on the debate's Items list, so vocabulary doesn't matter. Typical chain: parliament_find_member(name) → member_id, then parliament_search_hansard or parliament_lookup_by_column → debate_ext_id, then this tool. The parliament module's instructions describe the full composition pattern. Without member_id, returns every contribution (~100-200 for a long debate). If the wire returns no contributions for a member you expect to have spoken, report the empty result honestly — do NOT reconstruct quotes from training data. Authoritative source for member contributions.

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• parliament_get_debate_contributions

  UK Legal Research

  USE THIS TOOL WHEN you have a debate_ext_id and want verbatim contributions, optionally filtered to one member. Canonical path for "everything a member said in this debate" regardless of vocabulary — text-search tools (parliament_member_debates, parliament_search_hansard) filter by contribution TEXT, dropping members who spoke without using your phrase verbatim. This tool filters by MemberId on the debate's Items list, so vocabulary doesn't matter. Typical chain: parliament_find_member(name) → member_id, then parliament_search_hansard or parliament_lookup_by_column → debate_ext_id, then this tool. The parliament module's instructions describe the full composition pattern. Without member_id, returns every contribution (~100-200 for a long debate). If the wire returns no contributions for a member you expect to have spoken, report the empty result honestly — do NOT reconstruct quotes from training data. Authoritative source for member contributions.

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• search_agencies

  pickanagency

  Search Pick an Agency's directory of 47,000+ marketing agencies. Filter by free-text query, service (e.g. SEO, paid ads, social media), country, city, industry, and minimum rating. Returns the top matches with location, rating, reviews and profile link. WHEN TO USE: for browsing or filtering ('show me SEO agencies in Berlin', 'agencies named X') when the user wants a LIST to explore. Use match_agencies instead when the user describes their project/brief and wants a RECOMMENDATION; use get_agency for full detail on one specific agency.

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• aetherwave_remove_background_video

  AetherWave Studio

  Strips the background from a video frame-by-frame using rembg (u2netp) on AetherWave's Python service. Pass a public `videoUrl`. Choose `bgType: "transparent"` for an alpha-channel WebM output (compositing) or `bgType: "color"` with a `customColor` hex for a solid replacement. 2 credits per second. Slowest tool in the surface (per-frame processing); a 6s clip takes ~4 min, a 30s clip ~15-20 min. Works best on subjects with clear edges (people, products). Returns the processed video URL (R2-hosted).

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• clipform_list_compositions

  Clipform

  Browse available video compositions and their expected props schemas. Call this before using clipform_render_composition to discover visual styles and their input props. For narrated slideshows from images, use clipform_generate_video instead.

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• find_prayer

  Sanctuary

  Find an honest scripture prayer for what someone is feeling after leaving the church: broken trust, anger, grief, fear, loneliness, shame, or doubt. Give a feeling in their own words (e.g. "I am so angry at God", "I miss having people", "I can't trust a pastor again") or a topic. Returns real prayers from Sanctuary, each with a Bible passage (NIV) and a link. For people who left the church but did not leave Jesus. Not counseling; anyone in crisis is pointed to 988.

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• fetch

  SingChat

  Fetch the full text of a single document by id, using an id returned by the search tool. With a workspace API key this reads a knowledge document from that workspace; without a key it reads a SingChat help article. Returns id, title, text, url, and optional metadata.

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• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

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• fulltext_search_graph

  RationalBloks

  Search across ALL string properties of ALL nodes in a deployed graph using free-text queries. Unlike search_graph_nodes (which filters by specific property), this searches every text field at once. Perfect for finding knowledge when you don't know which property contains the answer. Example: query "quantum" searches name, description, summary, notes, and all other string fields. Returns nodes with _match_fields showing which properties matched. Optionally filter by entity_type to narrow results.

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• platform_tool_finder

  Inferventis — Financial Data, News & Web MCP

  Discovers the most relevant tools available on this MCP server for a given task using local semantic search (MiniLM-L6-v2 embeddings). Accepts a plain-English description of what needs to be accomplished and returns the best matching tools ranked by relevance, along with their input schemas, pricing tier, and exact call instructions. Use this tool first when you are connected to this server but do not know which specific tool to call — describe your goal and let platform_tool_finder identify the right capability. Do not use this tool if you already know the tool name — call that tool directly instead. Returns up to 10 results ranked by semantic similarity score.

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